The Kempner function, often denoted as \( K(n) \), is a function defined in number theory that counts the number of positive integers up to \( n \) that are relatively prime to \( n \) and also which contain no digit equal to 0 when expressed in decimal notation. This function is named after mathematician Howard Kempner. More formally, the Kempner function can be defined as follows: - Let \( n \) be a positive integer.

The hypergeometric function is a special function represented by a power series that generalizes the geometric series and many other functions.

The Hypergeometric distribution is a probability distribution that describes the likelihood of a certain number of successes in a sequence of draws from a finite population without replacement. It is particularly useful in scenarios where you are interested in sampling a small number of items from a larger group without putting them back into the group after each draw. ### Parameters of the Hypergeometric Distribution The Hypergeometric distribution is defined by the following parameters: 1. **N**: The population size (the total number of items).

Hermite interpolation is a method of interpolating a set of data points that not only matches the function values (as in polynomial interpolation) but also matches the derivatives at those points. This is particularly useful when you have information about not just the values of a function at certain nodes but also the behavior of the function (i.e., its slope) at those nodes.

The Generalized Integer Gamma Distribution is a statistical distribution that extends the traditional gamma distribution to encompass integer-valued random variables. While the classic gamma distribution is defined for continuous random variables, the generalized integer gamma distribution applies similar principles, allowing for the modeling of count data. ### Key Characteristics 1. **Parameterization**: The generalized integer gamma distribution is typically characterized by shape and scale parameters, similar to the standard gamma distribution.

The generalized hypergeometric function, denoted as \(_pF_q\), is a special function defined by a power series that generalizes the hypergeometric function.

The Generalized Pochhammer symbol, often denoted as \((a)_n\) or \((a; q)_n\) depending on the context, is a generalization of the regular Pochhammer symbol used in combinatorics and special functions.

The Gaussian binomial coefficient, also known as the Gaussian coefficient or q-binomial coefficient, is a generalization of the ordinary binomial coefficient that arises in the context of combinatorics, particularly in the theory of finite fields and polynomial rings.

The term "fibonomial coefficient" refers to a mathematical concept that combines elements from both Fibonacci numbers and binomial coefficients. It is defined in relation to the Fibonacci sequence, which is a series of numbers where each number (after the first two) is the sum of the two preceding ones. The fibonomial coefficient is typically denoted as \( \binom{n}{k}_F \) and is defined using Fibonacci numbers \( F_n \).

Falling and rising factorials are two mathematical concepts often used in combinatorics and algebra to describe specific products of sequences of numbers. They are particularly useful in the context of permutations, combinations, and polynomial expansions. Here's an overview of both: ### Falling Factorials The falling factorial, denoted as \( (n)_k \), is defined as the product of \( k \) consecutive decreasing integers starting from \( n \).

The term "factorial moment" refers to a specific type of moment used in probability theory and statistics. Factorial moments are particularly useful when dealing with discrete random variables, especially in the context of counting and combinatorial problems. For a discrete random variable \( X \) taking non-negative integer values, the \( n \)-th factorial moment is defined as: \[ E[X^{(n)}] = E\left[\frac{X!}{(X-n)!

The Extended Negative Binomial Distribution, sometimes referred to in some contexts as the Generalized Negative Binomial Distribution, is a statistical distribution that generalizes the standard negative binomial distribution. The standard negative binomial distribution typically models the number of failures before a specified number of successes occurs in a sequence of independent Bernoulli trials.

The Erdős–Ko–Rado theorem is a fundamental result in combinatorial set theory, particularly in the area concerning intersecting families of sets. It was first proved by Paul Erdős, Chao Ko, and Ronald Rado in 1961. ### Statement of the Theorem: For a finite set \( X \) with \( n \) elements, let \( k \) be a positive integer such that \( k \leq \frac{n}{2} \).

The Egorychev method is a mathematical technique used in combinatorial analysis and the theory of generating functions. Named after the Russian mathematician, the method primarily focuses on the enumeration of combinatorial structures and often simplifies the process of counting specific configurations in discrete mathematics. One of the significant applications of the Egorychev method is in the analysis of the asymptotic behavior of sequences and structures, particularly through the use of generating functions.

"De numeris triangularibus et inde de progressionibus arithmeticis: Magisteria magna" is a work by the mathematician and scholar Luca Pacioli, who lived during the Renaissance period. The title translates to "On Triangular Numbers and Towards Arithmetic Progressions: The Great Masterpiece." In this work, Pacioli discusses various concepts related to triangular numbers, which are figures that can form an equilateral triangle, and how these numbers relate to arithmetic progressions.

The central binomial coefficient is a specific binomial coefficient that appears in combinatorial mathematics, particularly in counting problems and polynomial expansions.

Carlson's theorem is a result in complex analysis, specifically in the context of power series. It deals with the convergence of power series and characterizes when a power series can be represented as an entire function, depending on the growth of its coefficients.

Brocard's problem is a question in number theory that involves finding integer solutions to a specific equation related to triangular numbers. The problem is named after the French mathematician Henri Brocard. Brocard's problem can be stated as follows: Find all pairs of positive integers \( n \) and \( m \) such that: \[ n!

The Binomial transform is a mathematical operation that transforms a sequence of numbers into another sequence through a series of binomial coefficients. It is particularly useful in combinatorics and has applications in various areas of mathematics, including generating functions and number theory.

The binomial series is a way to express the expansion of a binomial expression raised to a power. Specifically, it provides the expansion of the expression \((a + b)^n\) for any real (or complex) number \(n\).